Deictic Center Shifts in Literary Translation: the Spanish Translation of Nooteboom’s Het Volgende Verhaal
Bibliographic record
Abstract
In this article, we explore the phenomenon of deictic center shifts in literary translation, concentrating on the Spanish translation ( La historia siguiente , 1992) of the Dutch novel Het volgende verhaal (1991 [ The Following Story , 1993]). The empirical description focuses on lexical spatiotemporal markers and verbal tenses. We compare the source text and the target text in order to identify the translational shifts: we consider these shifts as textual traces of the translator’s interpretive process of resetting the spatiotemporal coordinates of the discourse. We will argue that the deictic shifts between source and target text are related to occasional hesitations of the translator, who tends to emphasize the most salient deictic center. On a methodological level, we hope to show that a close reading of a translated text, taking into account its thematic and structural peculiarities, can contribute both to Translation and Literary Studies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".